Hans Ehm

Comparison of two clustering approaches to find demand patterns in semiconductor supply chain planning

2018

Advancements in semiconductor industry have resulted in the need for extracting vital information from vast amount of data. In the operational process of supply chain, understanding customer demand data provides important insights for demand planning. …

Digital Reference – A Semantic Web for Semiconductor Manufacturing and Supply Chains Containing Semiconductors

2019

Within the public-private ECSEL Joint Undertaking, the project Productive4.0 aims for improvements with regard to digitalization for electronic components like semiconductors and systems as key enabling technologies. The semiconductor industry has a high growth potential …

Secure Wearable Computing – A Survey of Threats and security measures for wristband wearables

2019

In this paper we focus on threats and security measures for wristband wearables. We determine relevant threats and security measures identified with the help of a literature review. Further, we evaluate these threats and security …

Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms

2024 · arXiv (Cornell University)

Routing problems are a common optimization problem in industrial applications, which occur on a large scale in supply chain planning. Due to classical limitations for solving NP-hard problems, quantum computing hopes to improve upon speed …